This paper proposes an effective way for forecast malfunction risk criterion for discrete event systems (DESs). This work is based on the probabilistic Automata (PA) model and risk decision-making technique, thanks to decision-making can be for the uncertainty. It provides logistical unite maintenance materials procurement to decision-making, reduces costs and creates supply chain greater profits.